唐静静
职称：副教授，博士生导师
邮箱：tjj@swufe.edu.cn


主讲课程：《机器学习》，《深度学习》，《深度学习专题》
研究方向：机器学习，最优化与数据挖掘。主要研究内容包括多视角学习，迁移学习，不均衡学习，深度学习等。


教育背景：
2013.9-2018.7 中国科学院大学 运筹学与控制论 博士（硕博连读）
2009.9-2013.7 重庆大学 数学与应用数学 学士



研究成果
期刊论文：
[1] Jingjing Tang, *Yingjie Tian, *Dalian Liu and Gang Kou. Coupling privileged kernel method for multi-view learning[J]. Information Sciences, 481(2019): 110–127, 2019. DOI: 10.1016/j.ins.2018.12.058.
[2] Jingjing Tang, *Yingjie Tian, Peng Zhang and Xiaohui Liu. Multiview privileged support vector machines[J]. IEEE Transactions on Neural Networks and Learning Systems, 29(8): 3463-3477, 2018. DOI:10.1109/TNNLS.2017.**.
[3] Jingjing Tang, Dewei Li, *Yingjie Tian and *Dalian Liu. Multi-view learning based on Nonparallel Support Vector Machine[J]. Knowledge-Based Systems, 158(2018): 94–108, 2018. DOI: 10.1016/j.knosys.2018.05.036.
[4] Jingjing Tang, *Yingjie Tian, Xiaohui Liu, et. al. Improved multi-view privileged support vector machine[J]. Neural Networks, 106(2018): 96-109, 2018. DOI: 10.1016/j.neunet.2018.06.017.
[5] Jingjing Tang and *Yingjie Tian. A multi-kernel framework with nonparallel support vector machine[J]. Neurocomputing, 266(2017): 226–238, 2017.
[6] Jingjing Tang, *Yingjie Tian and Xiaohui Liu. LGND: A new method for Multi-Class Novelty Detection[J]. Neural Computing and Applications, 31(2019): 3339–3355, 2019. DOI: 10.1007/s00521-017-3270-7.
[7] Jingjing Tang and *Yingjie Tian. A Systematic Review on Minwise Hashing Algorithms[J]. Annals of Data Science, 3(4): 445-468, 2016.
[8] 唐静静，田英杰. 基于间隔迁移的多视角支持向量机[J].运筹学学报, Vol.22, No.3 1-14, 2018, DOI: 10.15960/j.cnki.issn.1007-6093.2018.03.000.

会议论文：
[1] Jingjing Tang, *Yingjie Tian and Dalian Liu. “Connected bit minwise hashing for large-scale linear SVM”[C]//2015 IEEE 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2015: 995-1002.
[2] Jingjing Tang and *Yingjie Tian. “f-Fractional Bit Minwise Hashing for Large-Scale Learning” [C]//2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). IEEE, 2015, 3: 60-63.
[3] Jingjing Tang and Dewei Li. “Incorporate Hashing with Multi-view Learning”[C]// 2016 IEEE 16th International Conference on Data Mining (ICDM). IEEE, 2016: 853-859.
[4] Jingjing Tang, *Yingjie Tian, Guoqiang Wu and Dewei Li. “Stochastic Gradient Descent for Large-scale Linear Nonparallel SVM” [C]//2017 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). IEEE, 2017: 980-983.
[5] Jingjing Tang, *Yingjie Tian and Dalian Liu. “Large-Scale Linear NPSVM via One Permutation Hashing” [C]//2018 IEEE International Joint Conference on Neural Networks(IJCNN). IEEE, 2018.
[6] Dewei Li, Dongkuan Xu, Jingjing Tang and Yingjie Tian. “Metric learning for multi-instance classification with collapsed bags” [C]// IEEE International Joint Conference on Neural Networks(IJCNN). IEEE, 2017: 372-379.
[7] Dewei Li, Jingjing Tang, Yingjie Tian and Xuchan Ju. “Multi-view deep metric learning for image classification” [C]//2017 IEEE International Conference on Image Processing(ICIP). IEEE, 2017: 4142-4146.



科研项目：
国家自然科学基金青年项目，**，面向多源异构征信大数据的信用评分理论、方法与应用研究，2020.01-2022.12，18万元，项目负责人。